Identifying Common Care Gaps Between Patient Groups

1. A system, comprising: a processor; and computer memory coupled with the processor, wherein the computer memory comprises data stored thereon that enables the processor to: transmit one or more database queries; receive, in response to the one or more database queries, a plurality of electronic data records from a patient database, wherein each of the electronic data records in the plurality of electronic records comprises patient data and treatment data for a corresponding patient; reduce, using an electronic record filter, a number of the plurality of electronic data records received from the patient database by filtering one or more electronic records from the plurality of electronic records received in response to the one or more database queries; analyze the filtered electronic data records for common care gaps shared between patients in a group of patients having a common value in a data field of the treatment data for the corresponding patient; determine, based on the analysis, a common care gap exists for each patient in the group of patients; map the common care gap to the common value in the data field; generate a report that identifies the common care gap and the common value in the data field; and transmit the report to a communication device of an entity having an ability to provide treatment for the common care gap.

2. The system of claim 1, wherein the entity comprises a pharmaceutical developer and wherein the treatment comprises a pharmaceutical treatment.

3. The system of claim 1, wherein analyzing the electronic data records for common care gaps comprises applying a set of matrices to the electronic data records, wherein each matrix in the set of matrices contains a plurality of defined elements that incorporate medical treatment information for the patient from at least one healthcare provider, and wherein an identifier of the at least one healthcare provider corresponds to the common value in the data field.

4. The system of claim 3, wherein the common care gap comprises an anomalous data occurrence for the group of patients as compared to electronic data records of patients not in the group of patients.

5. The system of claim 4, wherein the anomalous data occurrence corresponds to an absence of a pharmaceutical treatment for patients in the group of patients while the pharmaceutical treatment is provided to patients outside of the group of patients.

6. The system of claim 3, wherein the common care gap corresponds to a gap in a pharmaceutical treatment, wherein the treatment data comprises an identifier of a prescribed medicament in the pharmaceutical treatment, and wherein the entity comprises a pharmaceutical developer.

7. The system of claim 1, wherein the report comprises a data file that aggregates the electronic data records for the patients in the group of patients and wherein the report anonymizes the patient data to remove sensitive information prior to transmitting the report.

8. The system of claim 1, wherein the electronic data records comprise a plurality of data fields describing the treatment data, wherein the plurality of data fields include a laboratory test results data field, a prescription drug data field, a health plan claims data field, a provider data field, and an in-patient information data field.

9. The system of claim 8, wherein the provider data field corresponds to the data field having the common value and wherein the common value comprises an identifier of the entity.

10. The system of claim 9, wherein the plurality of data fields further include a location data field, wherein the location data field corresponds to the data field having the common value, and wherein the common value comprises an identifier of a geographic area.

11. The system of claim 1, wherein the one or more database queries comprises a database query including at least one of an identifier of the entity, an identifier of a prescription drug, and a location identifier, and wherein the group of patients correspond to patients that comprise an electronic data record that satisfies the database query.

12. A method of identifying and reporting on care gaps, the method comprising: transmitting one or more database queries; receiving, in response to the one or more database queries and from a patient database, a plurality of electronic data records comprising patient data and treatment data for a corresponding patient; reducing, using an electronic record filter, a number of the plurality of electronic data records received from the patient database by filtering one or more electronic records from the plurality of electronic records received in response to the one or more database queries; analyzing, with a processor, the filtered electronic data records for common care gaps shared between patients in a group of patients having a common value in a data field of the treatment data for the corresponding patient; determining, with the processor and based on the analysis, that a common care gap exists for each patient in the group of patients; mapping, with the processor, the common care gap to the common value in the data field; generating, with the processor, a report that identifies the common care gap and the common value in the data field; and causing the report to be transmitted to a communication device of an entity having an ability to provide treatment for the common care gap.

13. The method of claim 12, wherein the entity comprises a pharmaceutical developer and wherein the treatment comprises a pharmaceutical treatment.

14. The method of claim 12, wherein analyzing the electronic data records for common care gaps comprises applying a set of matrices to the electronic data records, wherein each matrix in the set of matrices contains a plurality of defined elements that incorporate medical treatment information for the patient from at least one healthcare provider, and wherein an identifier of the at least one healthcare provider corresponds to the common value in the data field.

15. The method of claim 14, wherein the common care gap comprises an anomalous data occurrence for the group of patients as compared to electronic data records of patients not in the group of patients.

16. The method of claim 15, wherein the anomalous data occurrence corresponds to an absence of a pharmaceutical treatment for patients in the group of patients while the pharmaceutical treatment is provided to patients outside of the group of patients.

17. The method of claim 14, wherein the common care gap corresponds to a gap in a pharmaceutical treatment, wherein the treatment data comprises an identifier of a prescribed medicament in the pharmaceutical treatment, and wherein the entity comprises a pharmaceutical developer.

18. The method of claim 12, wherein the report comprises a data file that aggregates the electronic data records for the patients in the group of patients and wherein the report anonymizes the patient data to remove sensitive information prior to transmitting the report.

19. The method of claim 12, wherein the electronic data records comprise a plurality of data fields describing the treatment data, wherein the plurality of data fields include a laboratory test results data field, a prescription drug data field, a health plan claims data field, a provider data field, and an in-patient information data field, wherein the provider data field corresponds to the data field having the common value and wherein the common value comprises an identifier of the entity.

20. A system, comprising: a processor; and a computer memory coupled with the processor, wherein the computer memory comprises data stored thereon that enables the processor to: receive, in response to one or more database queries, a plurality of heath data records from a patient database, wherein each of the plurality of heath data records comprises patient data and treatment data for a corresponding patient; reduce, using an electronic record filter, a number of the plurality of health data records received from the patient database by filtering one or more electronic records from the plurality of health data records received in response to the one or more database queries; analyze the filtered health data records associated with subjects in a patient member group for health deficiency indicators; identify, based on the analysis of the health data records, a subset of the subjects in the patient member group having a common health deficiency; determine whether the health data records include a previously prescribed treatment for each subject in the subset of the subjects in the patient member group, the previously prescribed treatment associated with the common health deficiency; group subjects of the subsets in the patient member group having a same previously prescribed treatment associated with the common health deficiency into discrete groups; determine a difference between treatments for each group of the discrete groups; generate a report including information about the difference between treatments; and send, across a communications network, the report to a communication device of an entity having an ability to provide treatment to at least one subject from at least one of the discrete groups.